Elior Sulem

9 papers and 475 indexed citations i.

About

Elior Sulem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Elior Sulem has authored 9 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in General Health Professions. Recurrent topics in Elior Sulem’s work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Text Readability and Simplification (5 papers). Elior Sulem is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Text Readability and Simplification (5 papers). Elior Sulem collaborates with scholars based in Israel, United States and Spain. Elior Sulem's co-authors include Omri Abend, Ari Rappoport, Dan Roth, Eneko Agirre, Hayley Ross, Thien Huu Nguyen, Bonan Min, Ilana Heintz, Amir Pouran Ben Veyseh and Oscar Sainz and has published in prestigious journals such as ACM Computing Surveys, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Co-authorship network of co-authors of Elior Sulem i

Fields of papers citing papers by Elior Sulem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elior Sulem. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elior Sulem. The network helps show where Elior Sulem may publish in the future.

Countries citing papers authored by Elior Sulem

Since Specialization
Citations

This map shows the geographic impact of Elior Sulem's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elior Sulem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elior Sulem more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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